Course detail

Economic Modelling in Maple

FP-PemKAcad. year: 2011/2012

The course is based on the possibilities of using the support computer system Maple for practical expansion of the knowledge of students which they acquired in theoretical courses (economics and quantitative disciplines), namely with the support of interactive methods.
Its contents are the formation of concrete economic models in their complexity, their analysis and application to selected problems of economical practice (especially of microeconomical and macroeconomical nature).
The modeling will utilize the methods of mathematical disciplines and the advantages of working, communication and presentation environment of the Maple system - especially its interactive, computational and visualization possibilities, animation, model and phenomenon simulations with predefined and interactively modifiable assistants, tutors, tasks, Maple-demo and video, click calculus etc.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Learning outcomes of the course unit

University graduates have an advantage in economic practice if they possess the ability to independently model and correctly solve problems of interdisciplinary nature, which is not possible without the usage of an appropriate computer system and other ICT tools.
Maple system provides a complex, dynamic, open and comfortable environment and a range of further attractive subsystems for its users.
These facts play a very important role in the overall structure of gaining habits not only at education in economic study programmes, but also in applications and in future economic practice.

Prerequisites

Knowledge of the basic course in Mathematics; familiarity with selected topics in the courses of Statistics and selected topics in the courses of Economics, especially Micro- and Macroeconomics.
Basic computer skills are expected.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Course-unit credit is awarded on condition of having participated in all seminars actively and worked out the assigned tasks and elaborated final project (evaluation considers factual accuracy, formal layout and presentation).

Course curriculum

Course description:
1st week: Information about the course and terms. Methods of the economic modeling, economic analysis and its applications. Mathematical software Maple, interactive tools, information about how to use the system.
2nd to 4th week: Revision of the basic mathematic methods used in economic analysis. Information about the most important tools of Maple (work, communication and presentation environments). Information about the final assignment required for the exam.
5th to 12th week: Economic models and their analysis. Analysis of selected economic variables.

Thematic description:
5th week: Supply and demand model, market and equilibrium.
6th to 7th week: Flexibility models of supply and demand. Models of total incomes and total costs, profit and externalities.
8th week: Models of utility and consumer preference. Relation of consumer behavior and demand.
9th week: Production model.
10th and 11th week: Selected macroeconomic models, consumption, production, rent and macroeconomic equilibrium.
13th week: Review of previous classes. Additional information.

Work placements

Not applicable.

Aims

The general aim of this course is to acquire knowledge in the area of creating economic models and methods of their processing with the support of mathematical methods, but also the implementation of contemporary innovative trends in education, such as:
- economic theory in correspondence with empirical contents of real life economic environment
- support of interdisciplinary training
- complex approach to solving economic problems by using the Maple system.

Specification of controlled education, way of implementation and compensation for absences

Attendance at lectures is recommended, attendance at seminars is controlled. The way of substituting of missed lectures and seminars is fully in the teachers’ competence.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Hřebíček J. and Kohout J. Úvod do systému Mpale. Fakulta informatiky MU Brno, Brno 2004. (CS)
Mezník I. Ekonometrie pro magisterské studijní programy. Akademické nakladatelství Cerm, s.r.o. Brno, Brno, 2004. (CS)
Dufek J. Ekonometrie. MZLU v Brně, Brno 2003. (CS)

Recommended reading

Gander W. and Hřebíček J. Solving problems in Scientific Computing Using Maple and Matlab. Springer, Heidelberg 2004. (EN)
Griffiths W.E., Hill R.C. and Judge G.G. Learning and Practicing Econometrics. USA, 1992. (EN)
Groligová I. and Mandelík P. Makroekonomie. Akademické nakladatelství Cerm, s.r.o. Brno, Brno 2007. (CS)
Hušek R. and Pelikán J. Aplikovaná ekonometrie. Professional Publishing, Praha 2003. (CS)
Hušek R. Ekonometrická analýza. Ekopress. Praha 1999. (CS)
Frank R. H. Microeconomics and Behavior. McGraw-Hill, New York 1991. (EN)
Karpíšek Z. Matematika IV. Akademické nakladatelství Cerm, s.r.o. Brno, Brno 2002. (CS)
Maroš B. and Marošová M. Základy numerické matematiky. PC-DIR Real, s.r.o., Brno 1999. (CS)
Slavin S. L. Microeconomics. Irwin McGraw-Hill, Boston 1996. (EN)
Seger J. and Hindls. R. Statistické metody v tržním hospodářství. Victoria Publishing. Praha 1995. (CS)
Škapa S. Mikroekonomie. 1. díl a 2.díl, Akademické nakladatelství Cerm, s.r.o. Brno, Brno 2005. (CS)

Classification of course in study plans

  • Programme MGR-KS Master's

    branch MGR-PFO-KS , 1. year of study, summer semester, elective

Type of course unit

 

Lecture

10 hours, optionally

Teacher / Lecturer

Syllabus

1. Revision of needed methods of mathematical disciplines.
2. Maple System.
3. Revision of needed concepts from economics (macro- and microeconomics).
4. Concrete mathematical models of economic quantities, their analysis and interpretation.